Triple

T10751884
Position Surface form Disambiguated ID Type / Status
Subject NATO Enhanced Forward Presence in Estonia E253589 entity
Predicate locatedIn P40 FINISHED
Object Tapa E787950 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tapa | Statement: [NATO Enhanced Forward Presence in Estonia, locatedIn, Tapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tapa
Context triple: [NATO Enhanced Forward Presence in Estonia, locatedIn, Tapa]
  • A. Tapa chosen
    Tapa is a town in northern Estonia that serves as a key railway junction and transport hub in the country’s rail network.
  • B. Tapalpa
    Tapalpa is a picturesque mountain town in the Mexican state of Jalisco, known for its colonial architecture, pine forests, and outdoor recreation.
  • C. Tappara
    Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
  • D. Tepa
    Tepa is the colloquial demonym for residents of Tepatitlán de Morelos, a city in the Mexican state of Jalisco.
  • E. Tepa
    Tepa is an island located within the Inner Banda Arc volcanic island chain in eastern Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71dc184d0819085f8bc4edb034377 completed April 9, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbdb897f7c81909002f2478613eff8 completed April 12, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:15 p.m.